Facilitating Drug Discovery in Breast Cancer by Virtually Screening Patients Using In Vitro Drug Response Modeling

SIMPLE SUMMARY: While patient datasets such as The Cancer Genome Atlas (TCGA) often contain a plethora of “-omics” data, the corresponding drug response information are limited and not suited for novel drug discovery. By integrating in vitro high throughput drug screening data and patient tumor mole...

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Detalles Bibliográficos
Autores principales: Gruener, Robert F., Ling, Alexander, Chang, Ya-Fang, Morrison, Gladys, Geeleher, Paul, Greene, Geoffrey L., Huang, R. Stephanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924213/
https://www.ncbi.nlm.nih.gov/pubmed/33672646
http://dx.doi.org/10.3390/cancers13040885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924213/
https://www.ncbi.nlm.nih.gov/pubmed/33672646
http://dx.doi.org/10.3390/cancers13040885

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